🧠 Context engineering > prompt engineering. We compare CodeMode vs no CodeMode with reproducible GitHub Actions workflows. Less context → fewer tokens → lower cost. 🎥 Demo: www.loom.com/share/1edbbe... Report deep dive next.

📚 New: Summarize 10 PDFs. Read up to 10 PDFs, extract key ideas, compare themes, and generate a concise summary. 🎥 Demo: www.loom.com/share/45b5ed... 🚀 datalayer.ai/gallery/agen...

📊 New in the Datalayer Agent Gallery: Replace Excel Pivot Work. Ask for the tables, groupings, filters, and charts you'd normally build by hand in Excel—and let the agent generate and export the results by executing Python. #AI #Agents #Excel #Python #Jupyter www.loom.com/share/184f13...

📊 First agent in the Datalayer Agent Gallery! We prepared the classic Titanic dataset as an Excel workbook and let the agent analyze it: answering questions, generating chart by executing Python. datalayer.ai/gallery/agen... #AI #Agents www.loom.com/share/60c6c4...

🚀 Jupyter MCP Server v1.0.3 is out! 🔒 Hardened management API: • localhost-only management routes • Reject non-local browser origins • MCP_TOKEN for state-changing routes ⏱️ execute_code now supports up to 1h timeouts. github.com/datalayer/ju... #MCP #Jupyter #AIAgents

🚀 Managed AI. 🔓 Without vendor lock-in. ✓ Your models. ✓ Your tools. ✓ Your workflows. That's Datalayer. #ManagedAgents #AI #OpenSource www.loom.com/share/45d1e0...

🔒 Your AI platform shouldn't own: ✓ Workflows ✓ Tools ✓ Integrations ✓ Business logic You should. #ManagedAgents #OpenSource #AI

🚀 Managed AI Agents are the future. 🔓 Vendor lock-in doesn't have to be. More this week. #ManagedAgents #AI #OpenSource

The #Jupyter Notebooks MCP Server by @datalayer.ai is a MCP server implementation designed to act as a bridge between Large Language Models, AI assistants and a user's live Jupyter environment.What does it enable? On IProgrammer: dub.sh/mNFIOeI

Big news: @pydantic.dev is donating the FastA2A repo to Datalayer. We'll take over maintenance and evolution of this MIT-licensed A2A framework, building on recent streaming collaboration. Focus: A2UI, Jupyter sandboxes, and agent-to-agent infra. 🚀 datalayer.ai/blog/2026/05...

☁️ Clouder is now open source! Create, manage & share Kubernetes clusters across clouds with a simple CLI & Python package. Includes Helm, autoscaling, backups, and even alpha features like container checkpoint (CRIU). Supports AWS, Azure & OVHcloud. 👉 clouder.sh

This example highlights the power of Agent Runtimes: a single agent can support multiple output formats seamlessly. From plain text and Markdown to structured JSON and UI-ready payloads, responses can adapt dynamically. ➡️ Build once, deploy everywhere. #AI #Agents #DeveloperTools

🛡️ AgentToolApprovalsExample: human-in-the-loop, in 4 lines. id: demo-tool-approvals tools: - runtime-echo:0.0.1 # auto - runtime-sensitive-echo:0.0.1 # manual approval One agentspec, two tools — runtime-echo ships, runtime-sensitive-echo waits for your 👍. #AIAgents #Datalayer

Should your AI agent need approval before running a skill—even for something as simple as telling a joke? What do you think? Personally, I believe it should be configurable 🙂

Jupyter MCP Server 1.0.2 is out! 🎉 Now supports the default Jupyter stack—no more pinning older collaboration versions. Use the version you want. 👉 github.com/datalayer/ju...

Within Carina Nebula's "Mystic Mountain," an unseen star is destroying light-year-long gas and dust pillars by ejecting energetic Herbig-Haro jets. These stellar nurseries will fully evaporate in a few million years. Credit: NASA/ APOD

#Agent Runtimes, by example. Explore UX, guardrails, tooling, collaboration & more—each as deep, pluggable building blocks. Try it, contribute, ⭐ your favorite: github.com/datalayer/agent-runtimes

Jupyter MCP Server 1.0.0 Reaches 1,000 GitHub ⭐ Right after the official 1.0.0 release, the Jupyter MCP Server repository crossed the 1K stars milestone. A huge thank you to the community building the future of notebook-native AI workflows. github.com/datalayer/ju...

LLM apps in prod need more than accuracy—they need cost visibility. Tokens drive spend, but most systems lack insight. Datalayer’s open-source agent-runtimes adds runtime-level tracking, OTEL pluggability & React charts—works with any LLM. PR: github.com/datalayer/ag...

📄🌍 Published in #IEEE GRS Magazine (2026): “Artificial Intelligence for Earthquake Response.” Datalayer ranked 2nd overall 🥈 in ESA + International Charter challenge. Paper: ieeexplore.ieee.org/document/113... DOI: doi.org/10.1109/MGRS...

We just opened a Discord for builders working with Datalayer AI Agents 🧠⚡ No marketing fluff—just real workflows, early features, and direct access to our team. If you’re building or exploring, come join us 👇 discord.gg/YQFwvmSSuR

🚀 Jupyter MCP Server v0.23.0 is out! Better notebook interactions, improved tool consistency, and more reliable execution ⚡ Thanks to all contributors 🙌 🔗 github.com/datalayer/ju... #Jupyter #AI #MCP

Datalayer is writing a paper on cost-effective LLM agents (70–92% token reduction via codemode). Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/con... #LLMAgents #AIEngineering #OpenScience

Our new Datalayer variant is built for AI Agent workloads—cutting data costs by up to 90% without sacrificing performance. Scale smarter, faster, and cheaper! 💡 🔗 datalayer.ai #AI #DataInnovation #AIAgents #CostEfficiency

⚙️ Run Python notebooks instantly in VS Code with the Datalayer Pyodide kernel — no Python install, no Conda, no setup. Open a notebook and start experimenting ✨ 🎓 Beginners | ⚡ Quick tests | 🔒 Sandbox-safe Read more 👉 medium.com/datalayer/st... #VSCode #Python #Jupyter #Pyodide

🧵 1/6 What if your AI agent could actually DO things? Not just chat. Actually search the web, access databases, read LinkedIn profiles, execute code. That's what we built. Here's what you can do with Agent Runtimes 👇

Adding #OTEL to MCP Compose with the kind help of @logfire.pydantic.dev github.com/datalayer/mc...

1/ Jupyter UI documentation got a refresher If this makes sense to you, you’re the target audience 👇 <JupyterReactTheme> <Notebook path="analysis.ipynb" /> </JupyterReactTheme> jupyter-ui.datalayer.tech

🚀 Jupyter MCP Server docs just got a refresh! Flattened TOC, new Reference & Providers sections, added JupyterHub + Google Colab providers (WIP), and more on security & multi-user use cases. Docs: jupyter-mcp.datalayer.tech Feedback welcome! 💬

🪐 Jupyter Embed is here! Add interactive Python cells, notebooks & terminals to ANY website with a simple script tag. 🎯 Live demo: jupyter-embed.datalayer.tech Built with ❤️ for educators, developers & data scientists. #Jupyter #Python #OpenSource

The Jupyter UI docs just got a fresh revamp ✨ Now with embedded Storybook—take a look! 👉 jupyter-ui.datalayer.tech

Jupyter React 2.0 is live! 🎉 Breaking changes: Notebook2 is now default, kernel setup moves to useJupyter(). See migration examples github.com/datalayer/ju...

1.5 days with #AI instead of maybe 1.5 weeks: Vite.js support and a revamped Jupyter React examples. AI is redefining software development timelines.

Devil’s in the details. This is why you’ll see a spinner in the VS Code runtime launcher while the remote runtime spins up.

Datalayer is joining the AgentX AgentBeats challenge! 🥊 To benchmark our data agent, we "agentified" DABench using the A2A protocol. The setup uses Pydantic AI and our Jupyter MCP Server. We think A2A + MCP is the future of agent interoperability. 🤝 github.com/datalayer-ch... #AgenticAI #MCP

The Datalayer VS Code extension is here. It brings a Notion-style editor (built on Lexical) right into your Jupyter environment. Just code, write, and explain in one place. It's open source 👐 and integrated with Copilot 🤖. medium.com/datalayer/no... #VSCode #Jupyter #DataScience #OpenSource

A new UI style more like Notion/Google Docs for Data Analysis, with AI Agent

🚀 Datalayer Notebooks ❤️ #Copilotkit Copilotkit now plugs into React-based Jupyter Notebooks — an LLM that can read, edit & run code. Open protocols = open data ecosystems. 👉 github.com/datalayer/core

My JupyterCon talk on standardizing AI agent access to Jupyter notebooks - thanks to MCP - is now live! 🚀 🎥 Video: www.youtube.com/watch?v=lO2p... 📖 Blog post: datalayer.blog/2025/11/27/j... #JupyterCon #AI #MCP

🚀 #Jupyter #MCP Server 0.21.0 is out! A single-PR release that speeds up tool discovery by adding caching — super handy for agents that love to use (or abuse) the get_tools API 😄 🔗 github.com/datalayer/ju...

Announcing Datalayer on VS Code 🎉 Add seamless #GPU runtimes to the native VS Code Notebook, plus Datalayer Notebook & Rich Editor — all via Jupyter’s open protocol. 👉 marketplace.visualstudio.com/items?itemNa...

Sharing a few thoughts on LinkedIn after my 3-week trip to the US, to shape the Datalayer roadmap: - Ship and support real OSS components - Avoid reinventing the wheel - Integrate with existing ecosystems where they are www.linkedin.com/posts/ericch...

Just returned from JupyterCon, where I had the opportunity to present on #Jupyter #MCP Server. It was fantastic to connect with the community and witness all the incredible innovation happening in the space. I’ll be sharing more insights and follow-ups from my talk in a blog post soon—stay tuned!

Jupyter MCP Server 0.19.0 is out! 🎉 Now you can use /jupyter-cite prompts to reference specific notebook cells — perfect for precise LLM operations. Docs: jupyter-mcp-server.datalayer.tech/prompts Release: github.com/datalayer/ju...

#Jupyter AI Agents 0.19.0 is released - You can chat with your Jupyter Notebook (Anthropic support for now). Try it with pip install jupyter-ai-agents

Just landed in San Francisco for #AI #OpenSource Software Week 🤖 (events.linuxfoundation.org/open-source-... )! Here to connect, share ideas, and discuss innovation — reach out if you’d like to meet in person. Next stop: Silicon Valley next week → San Diego the week after for my JupyterCon talk!

🚨 NEW IN JUPYTER MCP SERVER 0.14.0: Multi-notebook support! You can now seamlessly switch between multiple notebooks in a single session. Read more in the release notes jupyter-mcp-server.datalayer.tech/releases/#01....

🥈 We’re proud to announce that Datalayer secured 2nd place in the AI for Earthquake Response challenge by ESA Φ-lab! Our approach: Siamese network, image registration, and more. Infrastructure powered by Datalayer. 🚀 Full breakdown 👉 datalayer.blog/2025/09/12/a... #GeospatialAI #DeepLearning

🥈 We’re proud to announce that Datalayer secured 2nd place in the AI for Earthquake Response challenge by ESA Φ-lab! Our approach: Siamese network, image registration, and more. Infrastructure powered by Datalayer. 🚀 Full breakdown 👉 datalayer.blog/2025/09/12/a... #GeospatialAI #DeepLearning